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echocharlie

Oura MCP Server

by echocharlie

oura_get_workouts

Read-only

Retrieve Oura workout logs with intensity and source to reconcile with Strava activities or view Oura's intensity assessment. Defaults to last 30 days.

Instructions

Workouts as logged by Oura — cross-check or supplement Strava activities.

Oura auto-detects and lets you tag workouts. Use this to reconcile against a Strava connector (match on date/time), catch sessions Strava missed, or see Oura's intensity label. source shows how the workout was recorded (e.g. auto_detected, manual, confirmed).

CSV columns: date, activity, intensity (easy|moderate|hard), start_time, end_time, duration_min, distance_km, calories, source, label

Defaults to the last 30 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNoISO end date (YYYY-MM-DD), inclusive. Defaults to today.
start_dateNoISO start date (YYYY-MM-DD). Defaults to a 30-day window ending at end_date.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations provide readOnlyHint=true, and the description adds context about default date range, CSV columns, and the `source` field meaning. No contradiction; the description enhances transparency beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short paragraphs: first explains purpose and usage, second lists CSV columns. No unnecessary words; every sentence adds value. Front-loaded with key purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given low complexity, full schema coverage, and presence of an output schema, the description provides all needed behavioral and usage context. CSV column list compensates for missing output schema details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and describes parameters well. Description adds that start_date defaults to a 30-day window, which is already in schema. No additional semantics beyond schema, meeting baseline for high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves workouts logged by Oura and explicitly distinguishes it from siblings by mentioning cross-referencing with Strava activities. The verb 'get' and resource 'workouts' are specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit use cases: reconcile against Strava, catch missed sessions, see intensity label. However, it does not explicitly state when not to use this tool or mention alternatives, though siblings are listed elsewhere.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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